GPU Per Hour VS RunInfra
GPU Per Hour VS RunInfra 对比，GPU Per Hour 和 RunInfra 有什麼區別？
猜你喜歡
總結
GPU Per Hour 總結
GPU Per Hour 著陸頁
RunInfra 總結
Tell RunInfra what you need and it builds the production API. No dashboards. No config. Describe any open source model or full app in plain language. We optimize it for real: benchmark GPUs, quantize the model, generate custom CUDA kernels with our Forge agent. It runs faster and cheaper than standard hosting. Build voice (speech → AI → speech), doc search, vision, or model routing, all in one chat. Pay per million tokens. Scale to zero. Run managed or on your own GPUs.
RunInfra 著陸頁
比較詳情
GPU Per Hour 詳細信息
| 類別 | AI 開發者工具, AI工具目錄 |
| GPU Per Hour 網站 | https://gpuperhour.com?utm_source=toolify |
| 添加時間 | 2026年2月16日 |
| GPU Per Hour 定價 | -- |
RunInfra 詳細信息
| 類別 | AI 開發者工具, 大型語言模型 LLMs, AI API, 開源AI模型 |
| RunInfra 網站 | https://runinfra.ai?utm_source=toolify |
| 添加時間 | 2026年7月7日 |
| RunInfra 定價 | -- |
使用對比
如何使用GPU Per Hour？
Visit the homepage to see a live list of available GPU instances. Use the sidebar filters to select specific GPU models, VRAM requirements, or regions. Sort the results by 'price per GPU' to find the cheapest deals. Once you find a suitable instance, click 'Deploy' to be redirected to the provider's website to start your instance.
如何使用RunInfra？
Describe your model workload or paste an open-source model from Hugging Face in plain English. RunInfra's automated system will draft an execution plan, benchmark the model across serving engines and GPU configurations, and optimize it. Once the optimal setup is found, you can deploy it as a fully managed API endpoint or export the containerized deployment kit to self-host on your own hardware.
比較 GPU Per Hour 和 RunInfra 的優點
GPU Per Hour 的核心功能
- Real-time pricing and availability tracking for 10,000+ GPUs
- Head-to-head comparisons between 25+ cloud providers
- Advanced filtering by GPU model, VRAM, NVLink, and security tier
- Cost calculator to estimate true hourly expenses
- Coverage of both enterprise (H100/A100) and consumer (RTX 4090/3090) GPUs
RunInfra 的核心功能
- No-config plain language model deployment
- Automated serving engine benchmarking (vLLM, SGLang, TensorRT-LLM)
- Forge agent for custom CUDA kernel generation and tuning
- Multi-format model quantization (AWQ, GPTQ, FP8)
- Exportable, open-source stack deployment kits (Dockerfile, yaml)
- Scale-to-zero managed hosting with pay-per-million-token pricing
- Multi-cloud deployment targeting (RunInfra Cloud, Modal, RunPod, Vast.ai)
比較用例
GPU Per Hour 的用例
- Finding the lowest hourly rate for an NVIDIA H100 SXM instance
- Comparing the cost and features of AWS versus specialized providers like RunPod
- Locating available RTX 4090 stock for distributed machine learning training
RunInfra 的用例
- Deploying open-source LLMs like Llama 3.3 or Qwen 2.5 with optimized latency and cost
- Building real-time multimodal voice pipelines using Whisper and vLLM-Omni
- Quantizing large models like Qwen 2.5 Coder 32B to fit onto smaller, cheaper GPUs
- Generating a fully transparent and exportable Docker stack for self-hosted enterprise AI workloads
GPU Per Hour 和 RunInfra 之間的計劃不同
GPU Per Hour
對不起，沒有數據
RunInfra
Free
$5 in free credits for new accounts to try out optimization and benchmarking.
$100 per month
Includes 105 credits ($1 = 1 credit). Includes quantization (AWQ, GPTQ, FP8), standard GPU access (T4, L4, L40S, A100, H100), managed scale-to-zero OpenAI-compatible endpoints, and exportable deployment kits.
Custom pricing
Includes everything in Core plus self-hosted and custom-GPU deployment, B200/H200 GPU access, audit logs, RBAC, SOC 2 Type II compliance, custom SLAs up to 99.99%, and a dedicated CSM.
GPU Per Hour 的流量
GPU Per Hour 是月访问量為 22.3K 且平均訪問時長為 00:00:17 的工具。 GPU Per Hour 的每次訪問頁數為 2.08，跳出率為 42.29%。
最新網站流量
| 月訪問量 | 22.3K |
| 平均訪問時長 | 00:00:17 |
| 每次訪問頁數 | 2.08 |
| 跳出率 | 42.29% |
RunInfra 的流量
RunInfra 是月访问量為 9.0K 且平均訪問時長為 00:00:43 的工具。 RunInfra 的每次訪問頁數為 2.04，跳出率為 43.50%。
最新網站流量
| 月訪問量 | 9.0K |
| 平均訪問時長 | 00:00:43 |
| 每次訪問頁數 | 2.04 |
| 跳出率 | 43.50% |
地理流量
The top 5 countries/regions for GPU Per Hour are:United States 38.78%, United Kingdom 8.22%, Vietnam 7.62%, Brazil 7.42%, Germany 5.00%
Top 5 Countries/regions
 | 38.78% |
 | 8.22% |
 | 7.62% |
 | 7.42% |
 | 5.00% |
地理流量
The top 3 countries/regions for RunInfra are:United States 82.81%, India 10.61%, Pakistan 6.58%
Top 3 Countries/regions
| 82.81% |
 | 10.61% |
 | 6.58% |
網站流量來源
GPU Per Hour 的 6 個主要流量來源是：vs_sourcesSearchOrganic 58.49%, 直接 34.23%, vs_sourcesGenAi 3.71%, vs_sourcesSocialOrganic 2.75%, 引薦 0.83%, 郵件 0.00%, vs_sourcesAffiliate 0.00%, vs_sourcesDisplayAds 0.00%, vs_sourcesSearchPaid 0.00%, vs_sourcesSocialPaid 0.00%
vs_sourcesSearchOrganic | 58.49% |
直接 | 34.23% |
vs_sourcesGenAi | 3.71% |
vs_sourcesSocialOrganic | 2.75% |
引薦 | 0.83% |
郵件 | 0.00% |
vs_sourcesAffiliate | 0.00% |
vs_sourcesDisplayAds | 0.00% |
vs_sourcesSearchPaid | 0.00% |
vs_sourcesSocialPaid | 0.00% |
網站流量來源
RunInfra 的 6 個主要流量來源是：引薦 48.96%, 直接 48.91%, vs_sourcesGenAi 2.13%, 郵件 0.00%, vs_sourcesAffiliate 0.00%, vs_sourcesDisplayAds 0.00%, vs_sourcesSearchPaid 0.00%, vs_sourcesSocialPaid 0.00%, vs_sourcesSearchOrganic 0.00%, vs_sourcesSocialOrganic 0.00%
引薦 | 48.96% |
直接 | 48.91% |
vs_sourcesGenAi | 2.13% |
郵件 | 0.00% |
vs_sourcesAffiliate | 0.00% |
vs_sourcesDisplayAds | 0.00% |
vs_sourcesSearchPaid | 0.00% |
vs_sourcesSocialPaid | 0.00% |
vs_sourcesSearchOrganic | 0.00% |
vs_sourcesSocialOrganic | 0.00% |
GPU Per Hour 或 RunInfra哪個更好？
GPU Per Hour 可能比 RunInfra 更受歡迎。如您所見，GPU Per Hour 每月有 22.3K 次訪問，而 RunInfra 每月有 9.0K 次訪問。 所以更多的人選擇GPU Per Hour。 因此，人們很可能會在社交平台上更多地推薦 GPU Per Hour。
GPU Per Hour 的平均訪問持續時間為 00:00:17，而 RunInfra 的平均訪問持續時間為 00:00:43。 此外，GPU Per Hour 的每次訪問頁面為 2.08，跳出率為 42.29%。 RunInfra 的每次訪問頁面為 2.04，跳出率為 43.50%。
GPU Per Hour 的主要用戶是United States, United Kingdom, Vietnam, Brazil, Germany，分佈如下：38.78%, 8.22%, 7.62%, 7.42%, 5.00%。
RunInfra 的主要用戶是 United States, India, Pakistan，分佈如下：82.81%, 10.61%, 6.58%。
查看其他对比
精選*
